code: def set_cudnn(config):
      torch.backends.cudnn.deterministic = config.CUDNN.DETERMINISTIC
      torch.backends.cudnn.enabled = config.CUDNN.ENABLED
      torch.backends.cudnn.benchmark = config.CUDNN.BENCHMARK
  
imports: import _init_paths
  import os, sys, datetime, shutil
  import os.path
  import random
  import h5py
  import pickle
  import numpy
  import argparse
  import subprocess
  import warnings
  import torch
  import torch.nn
  import torch.optim
  import torch.backends.cudnn
  from torch.utils.data import TensorDataset, DataLoader
  from torch.optim import lr_scheduler
  from lib.dataloader.mpiinf import MPIINFDataset
  from lib.dataloader.h36m import Human36MDataset
  from lib.dataloader.surreal import SurrealDataset
  from lib.models.model import get_pose_model, get_discriminator
  from lib.core.config import config, update_config, update_dir
  from lib.utils.misc import save_pickle, create_logger, load_pickle
  from lib.utils.utils import load_checkpoint, save_checkpoint, get_optimizer
  from lib.utils.vis import plot_scalemid_dist, plot_scalemid_seq_dist
  from tensorboardX import SummaryWriter
label_desc: Use image node_id 1 for calling a global function with example usage: set_cudnn(config) without return types